Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control.

Mapping the spatial variability of HIV infection in Sub-Saharan Africa: Effective information for localized HIV prevention and control.
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绘制撒哈拉以南非洲艾滋病毒感染的空间变异性:用于局部艾滋病毒预防和控制的有效信息。

DOI:
10.1038/s41598-017-09464-y
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发表时间:
2017-08-22
期刊:
影响因子:
4.6
通讯作者:
Tanser F
Tanser F
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Cuadros DF;Li J;Branscum AJ;Akullian A;Jia P;Mziray EN;Tanser F

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在撒哈拉以南非洲这样的资源有限的环境中,不可能在任何地方为每个人做任何事情,在这种前提下,关于艾滋病毒流行病的详细地理知识对于使方案对策适应当地的具体需要至关重要。然而,国家艾滋病毒方案的设计和评估往往依赖于国家一级的综合数据。在此背景下,在这里,我们提出了一个模型,以产生高分辨率的地图,在肯尼亚,马拉维,莫桑比克和坦桑尼亚的艾滋病毒流行率的国家内估计的基础上空间变量。生成的艾滋病毒流行地图突出了一个国家内艾滋病毒流行的明显空间差异,并定位了艾滋病毒流行负担和驱动因素集中的地区。根据联合国艾滋病毒/艾滋病联合规划署(艾滋病规划署)和美国总统艾滋病紧急救援计划的建议,在一个注重为艾滋病毒负担最重地区的风险最大的人口最佳分配循证干预措施的时代,这种地图提供了重要的信息,战略性地针对资源可以产生最大影响的地理区域和人口。
Under the premise that in a resource-constrained environment such as Sub-Saharan Africa it is not possible to do everything, to everyone, everywhere, detailed geographical knowledge about the HIV epidemic becomes essential to tailor programmatic responses to specific local needs. However, the design and evaluation of national HIV programs often rely on aggregated national level data. Against this background, here we proposed a model to produce high-resolution maps of intranational estimates of HIV prevalence in Kenya, Malawi, Mozambique and Tanzania based on spatial variables. The HIV prevalence maps generated highlight the stark spatial disparities in the epidemic within a country, and localize areas where both the burden and drivers of the HIV epidemic are concentrated. Under an era focused on optimal allocation of evidence-based interventions for populations at greatest risk in areas of greatest HIV burden, as proposed by the Joint United Nations Programme on HIV/AIDS (UNAIDS) and the United States President’s Emergency Plan for AIDS Relief (PEPFAR), such maps provide essential information that strategically targets geographic areas and populations where resources can achieve the greatest impact.
DOI: 10.1038/ncomms6454
发表时间: 2014-12-01
影响因子: 16.6
作者:
Gerberry, David J.;Wagner, Bradley G.;Blower, Sally
通讯作者: Blower, Sally
DOI: 10.1097/qad.0000000000001075
发表时间: 2016-06-01
期刊: AIDS (London, England)
影响因子: --
作者:
Subnational Estimates Working Group of the HIV Modelling Consortium
通讯作者: Subnational Estimates Working Group of the HIV Modelling Consortium
DOI: 10.1097/01.qai.0000243053.80945.f0
发表时间: 2006-12-01
影响因子: 3.6
作者:
Arroyo, Miguel A.;Sateren, Warren B.;McCutchan, Francine E.
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DOI: 10.1186/1476-072x-3-18
发表时间: 2004-08-26
影响因子: 4.9
作者:
Berke, Olaf
通讯作者: Berke, Olaf
DOI: 10.1016/s0140-6736(14)61053-9
发表时间: 2014-07-19
期刊: LANCET
影响因子: 168.9
作者:
Anderson, Sarah-Jane;Cherutich, Peter;Hallett, Timothy B.
通讯作者: Hallett, Timothy B.